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Convenient optimization strategy implemented in multivariable predictive control
2018
MATEC Web of Conferences
A significantly important part of model predictive control (MPC) with constraints is a solution of an optimization task. The result of the optimization is a vector of future increments of a manipulated variable. The first element of this vector is applied in the next sampling period of MPC in the framework of a receding horizon strategy. In practical realization of a multivariable MPC, the optimization is characterized by higher computational complexity. Therefore, reduction of the
doi:10.1051/matecconf/201821002022
fatcat:kgjlm6zotbcedfwuajh3ju6rwe